with Scale AI and Pinterest?
Emit new events when new pins are created on a board or board section. See the docs here and here
Create a document transcription task. See the documentation
Create an image annotation task. See the documentation
Create a text annotation task. See the documentation
Scale AI offers an API to automate and streamline data labeling for machine learning applications, providing access to a global workforce and sophisticated tools. With Scale AI's API on Pipedream, you can integrate scalable data annotation workflows directly into your apps. Trigger tasks, manage datasets, and receive annotated data, all within Pipedream's serverless platform. This enables seamless automation of labeling tasks, integration with machine learning pipelines, and real-time updates on annotations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scale_ai: {
type: "app",
app: "scale_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.scale.com/v1/teams`,
headers: {
"Accept": `application/json`,
},
auth: {
username: `${this.scale_ai.$auth.api_key}`,
password: ``,
},
})
},
})
The Pinterest API opens a portal to interact programmatically with Pinterest's rich data, including boards, pins, and user information. By leveraging this API on Pipedream, you can automate actions like posting new pins, extracting pin data for analysis, and synchronizing Pinterest content with other platforms. The potential extends to marketing optimization, content management, and audience engagement, all automated and integrated within the Pipedream ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pinterest: {
type: "app",
app: "pinterest",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pinterest.com/v5/user_account`,
headers: {
Authorization: `Bearer ${this.pinterest.$auth.oauth_access_token}`,
},
})
},
})